Quantifying the Impact of Auditory Deafferentation on Speech Perception
Jiayue Liu1, Joshua Stohl2, Enrique A Lopez-Poveda3,4,5
1Department of Psychology and Neuroscience, Duke University, Durham, NC, USA.
Trends in Hearing
|January 31, 2024
Summary
Auditory deafferentation, or loss of nerve connections in the inner ear, significantly worsens speech perception, especially in noisy environments. This study models these effects to help evaluate hearing loss.
Area of Science:
- Auditory Neuroscience
- Speech Perception
- Computational Auditory Modeling
Background:
- Research indicates morphological changes in the auditory periphery may cause hearing difficulties in noise despite normal hearing thresholds in quiet.
- Cochlear synaptopathy (inner ear nerve damage) may lead to auditory nerve deafferentation and impaired signal transmission to the brain.
Purpose of the Study:
- To quantify the perceptual consequences of auditory deafferentation in humans using a physiologically inspired encoding-decoding model.
- To assess how varying degrees of deafferentation impact speech perception in quiet and noisy conditions.
Main Methods:
- Developed an encoding-decoding model simulating auditory periphery processing and auditory nerve activity.
- Trained the decoding stage to regenerate speech stimuli from simulated neural data.
- Measured speech perception thresholds in quiet and noise as a function of modeled deafferentation levels.
Main Results:
- Speech perception thresholds significantly worsened with deafferentation exceeding 90%.
- The negative impact on speech perception was more pronounced in noisy backgrounds compared to quiet.
- The model successfully replicated degraded speech perception in noise with preserved perception in quiet.
Conclusions:
- The encoding-decoding model effectively quantifies the perceptual effects of auditory deafferentation.
- This model may serve as a tool for evaluating the degree of auditory deafferentation in individuals.
- Findings highlight the critical role of intact auditory nerve function for robust speech understanding, particularly in challenging listening situations.
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